IEEE

Towards a Methodology for RTPA-MATLAB Code Generation Based on Machine Learning Rules

Abstract: Autonomous program code generation by machine learning is not only an ultimate goal but also a theoretical challenge to software science and engineering. A methodology and case study for ...
www.cs.cmu.edu

Machine Learning, 10-701 and 15-781, 2003

It is hard to imagine anything more fascinating than automated systems that improve their own performance. The study of learning from data is commercially and scientifically important. This course is ...
Hacker

64 Stories To Learn About Machine Learning Tutorials

Lets geek out. The HackerNoon library is now ranked by reading time created. Start learning by what others read most. Lets geek out. The HackerNoon library is now ranked by reading time created. Start ...
Frontiers

Machine learning approaches for cardiovascular hypertension stage estimation using ...

Cardiovascular diseases (CVDs) are a leading cause of death worldwide, with hypertension emerging as a significant risk factor. Early detection and treatment of hypertension can significantly reduce ...
Electronic Design

MATLAB Deep Learning Toolbox Streamlines AI Development

MathWorks’ MATLAB 2018b release serves up a number of new features, including the Deep Learning Toolbox that supports development of machine-learning applications. Other new features include the 5G ...
Microsoft

A Tutorial Survey of Architectures, Algorithms, and Applications for Deep Learning

In this invited paper, my overview material on the same topic as presented in the plenary overview session of APSIPA-2011 and the tutorial material presented in the same conference (Deng, 2011) are ...
IEEE

Integrating Machine Learning with MATLAB and Simulink in an Introductory Robotics Class

Abstract: The use of FPGA has brought a new dimension to classroom activities. One can configure a system-on-chip (SoC) to boot Linux or use it as platform to launch Simulink logic models. At ...